// Copyright (c) 2023 Huawei Technologies Co., Ltd
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/OpApiInterface.h"
#include "op_plugin/utils/op_api_common.h"

namespace op_api {
using npu_preparation = at_npu::native::OpPreparation;

at::Tensor& zeros_out(at::IntArrayRef size, at::Tensor& out)
{
    DO_COMPATIBILITY(aclnnInplaceZero, acl_op::zeros_out(size, out));
    out.resize_(size);
    return out.zero_();
}

at::Tensor zeros_symint(
    c10::SymIntArrayRef size,
    c10::optional<at::ScalarType> dtype,
    c10::optional<at::Layout> layout,
    c10::optional<at::Device> device,
    c10::optional<bool> pin_memory)
{
    DO_COMPATIBILITY(aclnnInplaceZero, acl_op::zeros_symint(size, dtype, layout, device, pin_memory));
    at::TensorOptions option = option.dtype(dtype)
                                    .layout(layout)
                                    .device(device)
                                    .pinned_memory(pin_memory);
    at::Tensor result = npu_preparation::apply_tensor_without_format(c10::asIntArrayRefUnchecked(size), option);
    return result.zero_();
}


at::Tensor zeros(
    at::IntArrayRef size,
    c10::optional<at::DimnameList> names,
    c10::optional<at::ScalarType> dtype,
    c10::optional<at::Layout> layout,
    c10::optional<at::Device> device,
    c10::optional<bool> pin_memory)
{
    DO_COMPATIBILITY(aclnnInplaceZero, acl_op::zeros(size, names, dtype, layout, device, pin_memory));
    at::TensorOptions option = option.dtype(dtype)
                                    .layout(layout)
                                    .device(device)
                                    .pinned_memory(pin_memory);
    at::Tensor result = npu_preparation::apply_tensor_without_format(size, option);
    auto maybe_name = names.value_or(at::ArrayRef<at::Dimname>{});
    at::namedinference::propagate_names_if_nonempty(result, maybe_name);
    return result.zero_();
}
}
